Datasets:
source_index int64 11 163k | image imagewidth (px) 147 2.38k | user_content stringclasses 2
values | assistant_content stringlengths 418 4.57k |
|---|---|---|---|
120,459 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Set the data for the hist chart based on remote sensing technologies
# Columns: Technology, Min, Q1, Median, Q3, Max, Outlier
technologies = ['LiDAR', 'RADAR', 'Hyperspectral', 'Thermal', 'Multispectral']
min_vals = [100, 200, 150, 50, 75]
q1_vals = [200, 400, 300, 100, 150]... | |
137,745 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Part 1: Data Preparation
# Fluctuating data for Cultural Practices
cultural_practices = [2, 5, 7, 9, 12]
cultural_practices_outliers = [15, 18]
festival_celebrations = [3, 6, 8, 10, 13]
festival_outliers = [16, 20]
# Fluctuating data for Tonal Analysis
t... | |
155,093 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
datasets = ['Dataset A', 'Dataset B', 'Dataset C']
model1 = [30, 40, 45]
model2 = [35, 45, 50]
model3 = [40, 50, 55]
model4 = [45, 55, 60]
model5 = [50, 60, 65]
# X-axis positions
x = np.arange(len(datasets))
# Bar width
bar_width = 0.12
# Plotting... | |
148,592 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import os
# Generate sample data
data = [np.random.normal(0, std, 100) for std in range(2, 7)]
# Create a figure with a specified size
plt.figure(figsize=(10, 6))
# Create the boxplot
box = plt.boxplot(data, patch_artist=True)
# Set colors for each box
col... | |
104,072 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
# Define CSV data
csv_data = """Month,Number of Attacks,Number of Breaches
January,50,10
February,40,8
March,60,12
April,70,15"""
# Parse CSV data
data_lines = csv_data.strip().split("\n")
header = data_lines[0].split... | |
69,703 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
data = {
'temperature': [25, 32, 41],
'pressure': [1010, 1020, 1030],
'humidity': [55, 60, 65]
}
# Colors
colors = ['#2F4F4F', '#008B8B', '#F0F8FF', '#B22222', '#5F9EA0']
# Setting the figure and axis
fig, ax1 = plt.subplots(figsize=(10,... | |
45,395 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import gaussian_kde
# ===================
# Part 1: Data Preparation
# ===================
# Data derived from "Quantum Computing"
quantum_data_1 = np.array([10500.5, 11000.9, 11500.3, 12000.7, 12500.4])
quantum_data_2 = np.array([3950.3, 45... | |
36,850 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import numpy as np
import matplotlib.pyplot as plt
# Generated CSV data
csv_data_1 = "Communication,80\nTransportation,75\nEnergy,60\nManufacturing,45"
csv_data_2 = "Agriculture,55\nFinance,85\nRetail,65\nLogistics,70\nTelecommunications,90"
csv_data_3 = "Security,45\nCompliance,70\nProductivity,60"
# Data ... | |
67,401 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
sectors = ['Finance', 'Education', 'Employment', 'Security']
values = [75, 85, 60, 50]
# Axes configuration
n = len(sectors)
angles = np.linspace(0, 2 * np.pi, n, endpoint=False).tolist()
angles += angles[:1]
values += values[:1]
# Figure size
fig,... | |
1,556 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
from matplotlib.pyplot import pie, axis, title, legend
# Creating figure
fig = plt.figure(figsize=(10, 10))
# Data
labels = ['VR Training', 'AR Navigation', '360 Video Production', 'Mixed Reality Collaboration', 'Immersive Storytelling']
sizes = [8000, 9000, 8500, 7000, 7800]... | |
98,585 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data in CSV format
csv_data = '''Digital Wallet,2000,5000,7500,8500,10000,[12000;15000]
Online Banking,3000,6000,8000,9000,11000,[12000]
Crowdfunding,100,300,500,800,1000,[2000]
Cryptocurrency Exchange,2000,4500,7000,8500,12000,[14000;16000]
Payments Processor,1500,4000,6500... | |
32,057 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
x = np.arange(1, 4) # Metrics
Task_Completion = [85, 92, 88]
Efficiency = [78, 85, 80]
Accuracy = [90, 87, 89]
Response_Time = [60, 55, 58]
User_Satisfaction = [75, 80, 78]
# Create figure
plt.figure(figsize=(10, 6))
# Create a subplot
ax = plt.sub... | |
155,273 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import os
# Data for the plots
contrast = np.array([0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4])
contrast_ours = np.random.uniform(-20, 20, len(contrast))
contrast_baseline = np.random.uniform(-20, 20, len(contrast))
sharpness = np.array([0.75, 0.8, 0.... | |
101,705 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import numpy as np
import matplotlib.pyplot as plt
# Data
categories = ["Technology", "Finance", "Retail", "Tourism", "Energy", "Transportation", "Food Services"]
values = [80, 65, 50, 35, 55, 45, 60]
# Plotting
fig, ax = plt.subplots(figsize=(8, 6))
# Bar plot
bars = ax.bar(categories, values, color=['#94... | |
117,447 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Generated Data
# Series 1: Data from different sustainability sites with item valuations
site_data = {
"Site 1": [5000, 2000, 800],
"Site 2": [6000, 2200, 900],
"Site 3": [5500, 2100, 850],
"Site 4": [5200, 2150, 900]
}
# Series 2: Data f... | |
118,748 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
# Data for the heatmap
data = {
'Model': ['Linear Regression', 'Random Forest', 'SVM', 'Neural Network', 'KNN'],
'Acc Train': [0.8, 0.85, 0.82, 0.9, 0.78],
'Q1 Train': [0.75, 0.83, 0.8, 0.87, 0.75],
'Median Train': [0.78, ... | |
158,776 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import os
# Data for the plot
x_values = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
y_values = [0.3, 0.4, 0.5, 0.6, 0.7, 0.5, 0.6, 0.4, 0.8]
# Create the figure and axis
fig, ax = plt.subplots(figsize=(10, 6))
# Plot the bars
ax.bar(x_values, y_values, w... | |
33,283 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data Preparation
categories = ['Email Campaign', 'Blog', 'SEO', 'PPC', 'Affiliates']
min_values = [50, 10, 100, 200, 25]
q1_values = [200, 50, 500, 600, 100]
median_values = [350, 200, 900, 1000, 250]
q3_values = [800, 300, 1200, 1400, 400]
max_values = [1... | |
113,789 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import numpy as np
# Data generation based on the given CSV data
paradigms = ["Analytic", "Continental", "Pragmatic"]
values = [35, 50, 45]
# Create Figure and GridSpec Layout
fig = plt.figure(figsize=(10, 6))
gs = GridSpec(1, 2, figur... | |
99,810 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
# Define our data
data = {
"Industry": ["Agriculture", "Manufacturing", "Healthcare", "Education", "Technology"],
"Min": [200, 500, 100, 50, 1000],
"Q1": [400, 1000, 300, 200, 2000],
"Median": [600, 1500, 500, 400, 3000],
... | |
1,782 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
categories = ['TypeA', 'TypeB', 'TypeC']
labels = ['Label1', 'Label2', 'Label3']
values = {
'TypeA': [1200, 4000, 7000, 1500, 4200, 7100],
'TypeB': [1100, 3900, 6800, 1300, 4100, 6900, 1400, 4000, 7200],
'TypeC': [1250, 4050, 6850, 1350, 4... | |
75,928 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data to plot
categories = ['Technology', 'Climate Change', 'Economics', 'Culture']
values = [55, 30, 40, 25]
colors = ['#F0F8FF', '#006400', '#FFEBCD', '#BDB76B']
# Create a pie chart
plt.figure(figsize=(10, 10))
plt.pie(values, labels=categories, colors=colors, autopct='%1... | |
69,701 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Example data parsed from CSV
data = {
"Magnitude": 6.5,
"Depth": 10,
"Location": 100,
"Duration": 50
}
categories = list(data.keys())
values = list(data.values())
# Create figure and axis
fig, ax = plt.subplots(figsize=(10, 6))
# Plottin... | |
4,548 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import numpy as np
import matplotlib.pyplot as plt
# Data
csv_data = '''label,200,800,3000
label,300,1500,4000
label,400,2000,5000
label,500,2500,6000'''
# Parsing the CSV data
data_lines = csv_data.split('\n')
labels = [line.split(',')[0] for line in data_lines]
values = np.array([list(map(int, line.split(... | |
53,684 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for threat levels and incidents
threat_levels = [200, 250, 300, 350]
incident_counts = [1500, 1600, 1700, 1800]
incident_severity = [7500, 8000, 8500, 9000]
# Define a color palette
colors = ['#DC143C', '#696969', '#1E90FF', '#FF7F50']
# Create a fi... | |
47,851 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data for the pie chart
labels = ['Supply', 'Demand', 'Inventory', 'LeadTime', 'Transportation', 'StorageCost', 'CustomerSatisfaction']
sizes = [500, 550, 450, 600, 620, 480, 490]
colors = ['#DC143C', '#DEB887', '#1E90FF', '#F5F5DC', '#483D8B', '#9400D3', '#7FFF00']
# Creati... | |
3,085 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import numpy as np
import matplotlib.pyplot as plt
# Data for Autonomous Vehicle Systems
data_labels = ['Min', 'Q1', 'Median', 'Q3', 'Max']
line_labels = ['Lidar', 'Radar', 'Camera', 'Ultrasonic']
data = np.array([
[100, 300, 500, 700, 1000],
[50, 200, 400, 600, 900],
[200, 500, 800, 1200, 1500],... | |
58,631 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data
labels = ['Type 1', 'Type 2', 'Type 3', 'Type 4']
sizes = [
sum([200, 350, 900]),
sum([250, 400, 1000]),
sum([300, 450, 1100]),
sum([350, 500, 1200])
]
colors = ['#1E90FF', '#00BFFF', '#DC143C', '#8A2BE2']
explode = (0.1, 0.1, 0.1, 0.1) # Explode all sl... | |
70,011 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
# dataset
data = np.array([
[200, 300, 450, 600],
[220, 320, 470, 620],
[240, 340, 490, 640],
[260, 360, 510, 660],
[280, 380, 530, 680]
], dtype=np.float32)
# y-axis labels
impact_categories =... | |
90,277 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for Smart Grid Metrics
data_labels = ['Energy Consumption', 'Cybersecurity', 'Network Efficiency', 'Customer Satisfaction', 'Operational Cost']
data = [50, 80, 45, 75, 65]
# Create the figure
fig = plt.figure(figsize=(10, 10))
ax = fig.add_subplot(1,... | |
47,264 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
csv_data = """Department,HR,Finance,IT,Sales
2015,2300,3400,5400,6700
2016,2500,3600,5600,7100
2017,2700,3800,5800,7500
2018,3000,4000,6000,8000"""
# Parse the data
data = np.array([list(map(int, row.split(','))) for row in csv_data.split('\n')[1:]])... | |
149,481 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import os
# Generate sample data for demonstration purposes
np.random.seed(42)
data_a = [np.random.normal(0, std, 150) for std in range(2, 9)]
data_b = [np.random.normal(0, std, 150) for std in range(2, 9)]
data_c = [np.random.normal(0, std, 150) for std in r... | |
133,812 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Set random seed for reproducibility
np.random.seed(42)
# Load the CSV data into arrays
web_services = ['ServiceA', 'ServiceB', 'ServiceC', 'ServiceD']
min_values = np.array([10, 5, 8, 12])
q1_values = np.array([25, 15, 20, 30])
median_values = np.array([... | |
82,170 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for ring chart
data_labels = ['Temperature', 'Humidity', 'Wind Speed']
data = np.array([20, 30, 25])
# Create the ring chart
fig, ax = plt.subplots(figsize=(8, 8))
palette = ['#006400', '#FF1493', '#00BFFF']
ax.pie(data, labels=data_labels, startang... | |
141,241 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for pie chart A
categories_a = ['Transportation', 'Technology', 'Construction']
values_a = np.array([60, 80, 90])
# Color palette
palette = ['#DB7093', '#9400D3', '#696969', '#F08080', '#ADFF2F', '#48D1CC', '#00BFFF', '#FF69B4', '#FFE4E1', '#FDF5E6']... | |
129,685 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Load the first set of data
data1 = {
"Innovation": ["Electric Vehicles", "Bike Sharing", "Ride Hailing", "Micromobility", "Telecommuting"],
"Value": [85, 78, 92, 68, 74]
}
# Load the second set of data
data2 = {
"Transport Mode": ["Subway", "B... | |
134,816 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
# Importing required libraries for data plotting
import matplotlib.pyplot as plt
import numpy as np
# Data for scatter plot
x = ['BERT', 'GPT-3', 'XLNet', 'RoBERTa', 'ALBERT']
min_vals = [500, 1200, 700, 400, 600]
medians = [3000, 2400, 2100, 1700, 1600]
q1_vals = [1500, 1800, 1300, 1000, 1100]
q3_vals = [45... | |
95,630 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data for the pie chart
labels = ['Lighting', 'Security', 'Energy Management', 'Entertainment', 'Climate Control']
sizes = [25, 35, 20, 10, 10]
colors = ['#00BFFF', '#6495ED', '#D2691E', '#DC143C', '#1E90FF']
explode = (0.1, 0, 0, 0, 0)
# Create a pie chart
plt.figure(figsiz... | |
127,058 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for the first subplot
products = ['Laptop', 'Smartphone', 'Tablet', 'Smartwatch', 'Headphones']
min_values = [500, 200, 150, 50, 30]
median_values = [1000, 600, 400, 200, 100]
mean_values = [1100, 700, 450, 250, 120]
max_values = [2000, 1500, 900, 400... | |
55,564 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
months = np.arange(1, 5) # Representing four different time points
values_1 = [300, 350, 400, 450]
values_2 = [800, 900, 1000, 1100]
values_3 = [1500, 1600, 1700, 1800]
# Create figure
plt.figure(figsize=(12, 6))
# Create subplots
ax1 = plt.subplot... | |
82,494 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
# Part 1: Importing libraries
import matplotlib.pyplot as plt
import numpy as np
# Part 2: Data Preparation
# Data from the csv_data
data = {
"mass": [1.99e+30, 3.30e+23, 4.87e+24, 6.42e+23, 1.90e+27],
"distance": [5.79e+10, 1.08e+11, 1.50e+11, 2.28e+11, 7.79e+11],
"temperature": [5778, 167, -63,... | |
64,339 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import numpy as np
import matplotlib.pyplot as plt
# Data from JSON
csv_data = """Month,Recognition Accuracy (%),Processing Time (ms),Dataset Size (GB)
January,85.5,120,2.3
February,87.2,110,2.5
March,88.9,105,2.7
April,90.1,100,2.9
May,91.0,95,3.1"""
# Process data
lines = csv_data.split('\n')
labels = lin... | |
155,616 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import os
# Data for plotting
np.random.seed(42)
data1 = [np.random.normal(0, std, 150) for std in range(4, 8)]
data2 = [np.random.normal(0, std, 150) for std in range(4, 8)]
# Create figure and axes
fig, ax = plt.subplots(figsize=(12.0, 7.0))
# Plotting th... | |
142,655 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
# Data Labels and Dataset
data_labels = ['Category', 'Measure A', 'Measure B', 'Measure C']
data = [['A', 200, 600, 1500], ['B', 300, 700, 1700], ['C', 250, 650, 1600], ['D', 350, 750, 1800], ['E', 400, 800, 2000]]
# Prepping data... | |
21,592 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
# Data related to Advanced Manufacturing Processes
data = {'Category': ['Automotive Industry', 'Renewable Energy', 'Smart Manufacturing', 'Industry 4.0'],
'Value': [60, 50, 85, 70]}
df = pd.DataFrame(data, c... | |
57,915 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
# Data
categories = ['Energy Efficiency', 'Green Spaces', 'Public Transport', 'Water Management', 'Waste Reduction']
values1 = [200, 50, 150, 100, 30]
values2 = [300, 200, 250, 150, 80]
values3 = [500, 400, 350, 250, 1... | |
50,474 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
# New data labels and dataset related to economic sectors
data_labels = ['Revenue ($ Billion)']
data = [['Transportation', 120],
['Manufacturing', 450],
['Agriculture', 200],
['Education', 300],
... | |
63,444 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# CSV data parsed
data = {
"Behavioral Measure": ["Reaction Time", "Memory Recall", "Attention Span", "Decision Accuracy"],
"Min": [200, 10, 5, 70],
"Q1": [350, 30, 10, 80],
"Median": [500, 50, 15, 85],
"Q3": [600, 70, 25, 90],
"Max":... | |
23,115 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import squarify
# Data for AI in various sectors
categories = ['Industry', 'Healthcare', 'Education', 'Transportation', 'Agriculture']
values = [50, 70, 45, 80, 60]
# Use a distinctive color palette
colors = ['#8FBC8F', '#1E90FF', '#FF1493', '#00CED1', '#D2691E']
# Create a ... | |
1,520 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# CSV data
csv_data = """Healthcare System,50,150,300,450,600,[800];E-commerce Platform,100,300,500,700,900,[1200, 1500];Financial Services,200,400,600,800,1000,[1300];Education Providers,70,180,320,460,620,[750];Government Agencies,150,350,550,750,950,[1250... | |
54,976 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data
regions = ['North', 'East', 'South', 'West', 'Central']
population = [200000, 150000, 180000, 130000, 220000]
density = [50, 70, 60, 80, 55]
area = [4000, 3000, 3500, 2500, 4500]
# Color palette
colors = ['#DC143C', '#5F9EA0', '#00CED1', '#7FFFD4', '#FF1493']
# Create... | |
139,779 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for Population Density and Area plot
district_data = {
"districts": ["Central", "North", "South", "East", "West"],
"Population": [80000, 60000, 70000, 75000, 65000],
"Density": [15000, 12000, 16000, 14000, 13000],
"Area (sq km)": [5, 6... | |
50,150 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for Sector Activity Data
data_labels = ['Occupation', 'Education', 'Health', 'Transportation', 'Entertainment']
data = [90, 160, 230, 320, 55, 120, 175, 250, 75, 140, 210, 300, 100, 180, 260, 330, 80, 150, 220, 310]
# Color palette
palette = ['#A52A2... | |
50,021 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import squarify
import pandas as pd
import numpy as np
# Convert CSV string data into a DataFrame
csv_data = '''label,500,2500,7500
label,600,3000,8000
label,700,3500,9000
label,800,4000,9500
label,900,4500,10000'''
from io import StringIO
df = pd.read_csv(StringIO(csv_data)... | |
31,394 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
# Data
months = ['January', 'February', 'March', 'April', 'May', 'June', 'July']
energy_produced = [320, 290, 300, 310, 320, 330, 340]
energy_consumed = [310, 280, 295, 300, 315, 320, 330]
co2_emissions = [50000, 48000... | |
157,220 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import os
# Set the figure size
plt.figure(figsize=(12.0, 9.0))
# Define the positions of the nodes
nodes = {
'A': (5, 2),
'B': (2, 5),
'C': (2, 2)
}
# Draw the nodes and the edges
for label, (x, y) in nodes.items():
circle = plt.Circle((x, y), 0.2, color='blu... | |
24,561 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data preparation
data = {'Technology': 25, 'Fitness': 50, 'Travel': 75, 'Finance': 100, 'Entertainment': 60}
labels = list(data.keys())
sizes = list(data.values())
# Plotting pie chart
fig, ax = plt.subplots(figsize=(10, 10))
palette = ['#DC143C', '#5F9EA0', '#6495ED', '#00... | |
114,865 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
species_data = [
{"species": "Lion", "values": [1.0, 2.0, 3.0, 4.0, 5.0]},
{"species": "Tiger", "values": [1.2, 2.2, 3.2, 4.2, 5.2]},
{"species": "Leopard", "values": [1.1, 2.1, 3.1, 4.1, 5.1]},
{"species": "Zebra", "values": [0.9, 1.9... | |
33,007 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import numpy as np
import matplotlib.pyplot as plt
# Data for the line chart
data = {
"Finance": 75,
"Employment": 85,
"Safety": 60,
"Infrastructure": 90
}
categories = list(data.keys())
values = list(data.values())
# Plot configuration
plt.figure(figsize=(10, 6))
palette = ['#9400D3', '#8F... | |
127,182 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
# Import necessary libraries
import matplotlib.pyplot as plt
import numpy as np
# First dataset related to building types and their sustainable features
labels1 = ['Residential', 'Commercial', 'Industrial', 'Public', 'Mixed Use']
green_certification = ['LEED Gold', 'LEED Platinum', 'LEED Silver', 'LEED Gold'... | |
14,101 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
# Data initialization
data = np.array([
[120, 200, 150, 80]
])
# Labels for the categories
categories = ['Sales', 'Marketing', 'Engineering', 'HR']
values = data[0]
# Create a figure
fig = plt.figure(figsize=(10,... | |
135,139 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data Preparation
data = {
"Category": ["Battery Storage", "Grid Integration", "Energy Efficiency", "Demand Response"],
"Value": [60, 55, 70, 65],
}
# Customizing figure size, font sizes, and palette
plt.figure(figsize=(8, 4))
palette = ['#FF8C00',... | |
60,089 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import pandas as pd
import matplotlib.pyplot as plt
import mplfinance as mpf
# Updated data related to fish species
data = {
'Date': ['2023-01-10', '2023-01-17', '2023-01-24', '2023-01-31', '2023-02-07', '2023-02-14', '2023-02-21', '2023-02-28', '2023-03-07', '2023-03-14'],
'Open': [300, 320, 340, 36... | |
161,028 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import os
# Data for the bar chart
elements = ['Humidity', 'Soil Type', 'Light Intensity', 'Pollution', 'Air Circulation', 'Microorganisms', 'Pruning', 'Mulching', 'Weed Control', 'Pollination']
effects = [0.12, 0.18, 0.22, 0.08, 0.14, 0.16, 0.21, 0.19, 0.17, 0.13]
uncertainti... | |
57,285 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data for boxplot
data = [
[45, 78, 150], # AirQuality
[12, 23, 35], # WaterLevel
[30, 60, 90], # SoilMoisture
[55, 70, 85], # NoiseLevel
[18, 24, 30] # Temperature
]
# Color palette
colors = ['#FFEBCD', '#696969', '#BDB76B', '#6495ED', '#7FFFD4... | |
33,700 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Example Data
data = {
'AR Game': {'Min': 100, 'Q1': 200, 'Median': 300, 'Q3': 400, 'Max': 500, 'Outlier': [700, 900]},
'Virtual Tour': {'Min': 50, 'Q1': 100, 'Median': 250, 'Q3': 400, 'Max': 450, 'Outlier': [600]},
'Education AR': {'Min': 10, '... | |
162,100 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
equations = ['Laplace', 'Advection', 'Convection', 'Fokker-Planck', 'KdV', 'Euler']
method_a = [0.1, 0.001, 0.03, 0.04, 0.005, 0.12]
method_b = [0.15, 0.0015, 0.045, 0.05, 0.007, 0.18]
method_c = [0.2, 0.002, 0.06, 0.06, 0.01, 0.22]
bar_width = 0.2
i... | |
48,534 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import squarify
# Define the data from your dataset
data_labels = ['150', '200', '250', '300', '350']
data_values = [4500, 4800, 5100, 5400, 5700]
# Define a color palette with recognizable colors
colors = ['#6495ED', '#7FFF00', '#00FFFF', '#0000FF', '#D2691E']
# Create a fi... | |
11,696 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data
categories = ['Technology', 'Finance', 'Food Industry']
values = [55, 78, 64]
# Set colors from the palette
colors = ['#DC143C', '#DEB887', '#BDB76B']
# Create bar chart
fig, ax = plt.subplots(figsize=(10, 6))
bars = ax.bar(categories, values, color=colors)
# Add ti... | |
109,767 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data Preparation
labels = ['Battery Storage', 'Flywheel Storage', 'Pumped Hydro Storage', 'Thermal Storage', 'Compressed Air Storage']
min_vals = [50, 20, 70, 30, 10]
q1_vals = [150, 60, 220, 90, 30]
median_vals = [300, 110, 400, 150, 50]
q3_vals = [450, 1... | |
114,254 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Data for the heatmap
data = {
'Machine Type': ['Sensor', 'Actuator', 'Controller', 'Gateway'],
'Min': [12, 9, 7, 5],
'Q1': [18, 15, 10, 8],
'Median': [22, 20, 14, 12],
'Q3': [28, 25, 20, 16],
'Max': [35, 30, 26, ... | |
144,369 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import pandas as pd
import os
# Data for Forensic Analysis
csv_data = "DNA_Forensics,5500,12000,18000\nToxicology_Analysis,4500,8500,16000\nFingerprints,6000,11000,17000\nCyber_Forensics,5000,10000,15000"
data_lines = csv_data.split('\n')
columns = ['Field', 'Sample1', 'Sample... | |
162,294 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import os
# Data
categories = ['α=0.2', 'α=0.4', 'α=0.6']
series_labels = ['A10.5', 'B15.3', 'C12.8', 'D14.2', 'E13.1']
values = [
[15, 5, 10, 20, 10],
[25, 15, 20, 10, 5],
[30, 20, 15, 5, 10]
]
# Colors for each category
colors = ['#80bfff', '#... | |
92,085 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Create a DataFrame from the CSV data
data = {
'Experiment': ['Experiment 1', 'Experiment 2', 'Experiment 3', 'Experiment 4'],
'Condition 1': [5.2, 4.8, 6.0, 5.5],
'Condition 2': [3.8, 2.9, 4.1, 3.5],
'Condition 3': [2.4,... | |
54,675 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
materials = ['Steel', 'Concrete', 'Timber']
density = [7850, 2400, 600]
elastic_modulus = [200000, 30000, 10000]
thermal_expansion = [12, 10, 5]
yield_strength = [250, 40, 30]
# Define colors
colors = ['#2F4F4F', '#B22222', '#8FBC8F']
# Setup figure... | |
118,798 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
# Part 1: Importing Libraries Needed
import matplotlib.pyplot as plt
import squarify
# Part 2: Data Preparation for the First Treemap
sizes_1 = [65, 85, 50, 75, 60, 45, 35]
labels_1 = [
"Architecture\n65",
"Data Governance\n85",
"Risk Management\n50",
"Software Security\n75",
"Network Sec... | |
8,272 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
# Data initialization and setup
data1 = np.array([
[5000, 3000, 2000],
[7000, 4000, 3000],
[8000, 4500, 3500],
[9000, 5000, 4000]
])
data2 = np.array([
[6000, 3200, 2800],
[7500, 3300, 2900],
... | |
44,236 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Dataset
data = {
'Water Conservation': 50,
'Forest Management': 75,
'Wildlife Protection': 65,
'Soil Health': 80
}
# Extracting keys and values
categories = list(data.keys())
values = list(data.values())
# Plotting the line chart
plt.figure(figsize=(10, 6))... | |
116,219 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data from the CSV
data_labels1 = ['Blockchain', 'FinTech', 'Supply Chain', 'Healthcare', 'Voting']
data1 = np.array([80, 75, 60, 70, 55])
# Define colors palette for the first subplot
colors1 = ['#FFF0F5', '#9370DB', '#EEE8AA', '#228B22', '#BA55D3']
# Cr... | |
112,026 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for the radar chart
data_labels = ['Satellite Count', 'Resolution(m)', 'Frequency(GHz)']
line_labels = ['February', 'March', 'April', 'May', 'June']
data = np.array([[15, 0.5, 13.6],
[20, 0.25, 12.8],
[25, 0.1, 14.2... | |
61,944 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data from CSV
labels = ['January', 'February', 'March', 'April', 'May', 'June']
sizes_buses = [4, 5, 6, 8, 9, 10] # Number of Electric Buses
sizes_stations = [16, 18, 20, 25, 30, 35] # Number of Charging Stations
# Creating figure with two subplots
fig, (ax1, ax2) = plt.s... | |
133,464 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data for each barrier type
barrier_types = ["Physical", "Cognitive", "Emotional", "Financial", "Social"]
min_values = [5, 3, 2, 4, 6]
q1_values = [10, 7, 5, 9, 11]
median_values = [15, 11, 8, 14, 16]
q3_values = [12, 9, 6, 11, 13]
max_values = [20, 18, 15,... | |
101,856 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import numpy as np
import matplotlib.pyplot as plt
# Data
data_labels = ['Performance', 'Usability', 'Accessibility', 'Affordance', 'Consistency']
line_labels = ['Alpha', 'Beta', 'Gamma', 'Delta', 'Epsilon']
data = np.array([
[85, 75, 95, 70, 60],
[80, 70, 90, 65, 55],
[75, 65, 85, 60, 50],
... | |
43,664 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data
labels = ['Solar', 'Wind', 'Hydro', 'Geothermal', 'Biomass']
sizes = [40, 30, 15, 10, 5]
colors = ['#00FFFF', '#6495ED', '#8B0000', '#7FFF00', '#483D8B']
# Creating figure
fig = plt.figure(figsize=(10, 8))
# Plotting Pie Chart
ax = fig.add_subplot()
ax.pie(sizes, labe... | |
124,108 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
# Import necessary libraries
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
# Data for generating heatmap
data = {
'device_type': ['AR_headset', 'AR_headset', 'AR_headset', 'tablet', 'tablet', 'tablet', 'smartphone', 'smartphone', 'smartphone'],
'rendered_frames': [200, 195... | |
143,418 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Data
categories = ['Fitness App', 'E-commerce', 'Weather Station', 'Air Quality Monitor', 'Smart Home']
Min = [250, 100, 50, 30, 100]
Q1 = [1000, 1500, 400, 200, 600]
Median = [3000, 4000, 1000, 800, 1500]
Q3 = [5000, 6500, 1800, 1500, 2500]
Max = [7500, 9... | |
45,437 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
# Data values (Algorithm and Speed) for the bar chart
algorithm = ['QAOA', 'Grover', 'Shor']
speed = [200, 150, 100]
# Bar chart styles and formatting
palette = ['#7FFFD4', '#FFB6C1', '#00FFFF'] # Color palette for bars
font_size = [12, 14, 16] # Random font sizes for title... | |
58,028 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import numpy as np
# Part 1: Data Preparation
regions = ['North', 'East', 'West', 'South']
population = np.array([250000, 300000, 220000, 270000])
area = np.array([1500, 1800, 1400, 1600])
elevation = np.array([350, 450, 300, 400])
# Part 2: Plotting the Data
fig, (ax1, ax2) ... | |
146,035 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
import os
# Data for the bar charts
algorithms = ['Algorithm A', 'Algorithm B', 'Algorithm C', 'Algorithm D', 'Algorithm E']
dataset1_scores = [15.5, 20.3, 18.0, 16.7, 19.2]
dataset2_scores = [10.1, 12.5, 11.3, 13.0, 14.2]
dataset3_scores = [5.0, 7.5, 6.3, 8.0, 9.2]
# Create a... | |
104,903 | <image>
You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide.
No... | ```python
import matplotlib.pyplot as plt
plt.figure(figsize=(12, 12)) # 1200x1200 pixels
labels = ['Mobile Network', 'Fiber Optics', 'Satellite Service', 'Radio Frequency', 'Internet Service']
sizes = [10, 20, 15, 25, 30]
colors = ['#E9967A', '#00CED1', '#9400D3', '#FAEBD7', '#FF7F50']
explode = (0.1, 0, 0, 0, 0) ... |
End of preview. Expand in Data Studio
VinciCoder Chart2Code, rows 0-10000 of seed 0
10,000 chart-to-code examples (chart image, instruction, reference matplotlib program) drawn from
the chart2code_1.parquet file of DocTron-Hub/VinciCoder-1.6M-SFT
(revision 974a038fb6f695e7a935112d4df430926fc468b3). All rights and terms are those of the source dataset and the works it collects.
Selection
- The first 163,186 of the file's 210,137 rows (the Chart2Code head) are split by SHA-256 of the image: 1% held out (1,678 rows, never included here), 161,508 for training.
- The training rows are shuffled once with
random.Random(0).shuffle(train_indices); this dataset is positions[0, 10000)of that order, in that order.permutation.jsonholds the full order (sha256bc4a30fffc10377e4c56b71dfbe5679a5e93e5d3723a392c4d7abcc3cc90aa34), so[10000, 10000 + N)gives the next, non-overlapping chunk. manifest.jsonrecords the source split and the sha256 of these indices (f399c46e442a9895af38ed8c7e74a3d884f5059980c2a486f9a4d8ec3c32c8ff).
Columns
| Column | Meaning |
|---|---|
source_index |
Row number in the source chart2code_1.parquet |
image |
Reference chart |
user_content |
Instruction |
assistant_content |
Reference answer (matplotlib code) |
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