Python Foundation

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MATPLOTLIB BAR CHART

  • 1) Write a Python programming to display a bar chart of the popularity of programming Languages. Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7 The code snippet gives the output shown in the following screenshot:
  • 2) Write a Python programming to display a horizontal bar chart of the popularity of programming Languages. Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7 The code snippet gives the output shown in the following screenshot:
  • 3) Write a Python programming to display a bar chart of the popularity of programming Languages. Use uniform color. Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7 The code snippet gives the output shown in the following screenshot:
  • 4) Write a Python programming to display a bar chart of the popularity of programming Languages. Use different color for each bar. Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
  • 5)Write a Python programming to display a bar chart of the popularity of programming Languages. Attach a text label above each bar displaying its popularity (float value). Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7 The code snippet gives the output shown in the following screenshot:
  • 6)Write a Python programming to display a bar chart of the popularity of programming Languages. Make blue border to each bar. Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7 The code snippet gives the output shown in the following screenshot:
  • 7)Write a Python programming to display a bar chart of the popularity of programming Languages. Specify the position of each bar plot. Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7 The code snippet gives the output shown in the following screenshot:
  • 8)Write a Python programming to display a bar chart of the popularity of programming Languages. Select the width of each bar and their positions. Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7 The code snippet gives the output shown in the following screenshot:
  • 9)Write a Python programming to display a bar chart of the popularity of programming Languages. Increase bottom margin. Sample data: Programming languages: Java, Python, PHP, JavaScript, C#, C++ Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7 The code snippet gives the output shown in the following screenshot:
  • 10)Write a Python program to create bar plot of scores by group and gender. Use multiple X values on the same chart for men and women. Sample Data: Means (men) = (22, 30, 35, 35, 26) Means (women) = (25, 32, 30, 35, 29) The code snippet gives the output shown in the following screenshot:
  • 11)Write a Python program to create bar plot from a DataFrame. Sample Data Frame: a b c d e 2 4,8,5,7,6 4 2,3,4,2,6 6 4,7,4,7,8 8 2,6,4,8,6 10 2,4,3,3,2 The code snippet gives the output shown in the following screenshot:
  • 12)Write a Python program to create bar plots with error bars on the same figure. Sample Date Mean velocity: 0.2474, 0.1235, 0.1737, 0.1824 Standard deviation of velocity: 0.3314, 0.2278, 0.2836, 0.2645 The code snippet gives the output shown in the following screenshot:
  • 13)Write a Python program to create bar plots with errorbars on the same figure. Attach a text label above each bar displaying men means (integer value). Sample Data Mean velocity: 0.2474, 0.1235, 0.1737, 0.1824 Standard deviation of velocity: 0.3314, 0.2278, 0.2836, 0.2645 The code snippet gives the output shown in the following screenshot:
  • 14)Write a Python program to create a stacked bar plot with error bars. Note: Use bottom to stack the women?s bars on top of the men?s bars. Sample Data: Means (men) = (22, 30, 35, 35, 26) Means (women) = (25, 32, 30, 35, 29) Men Standard deviation = (4, 3, 4, 1, 5) Women Standard deviation = (3, 5, 2, 3, 3) The code snippet gives the output shown in the following screenshot:
  • 15)Write a Python program to create a horizontal bar chart with differently ordered colors. Note: Use bottom to stack the women?s bars on top of the men?s bars. Sample Data Set: languages = [[‘Language’,’Science’,’Math’], [‘Science’,’Math’,’Language’], [‘Math’,’Language’,’Science’]] numbers = [{‘Language’:75, ‘Science’:88, ‘Math’:96}, {‘Language’:71, ‘Science’:95, ‘Math’:92}, {‘Language’:75, ‘Science’:90, ‘Math’:89}] The code snippet gives the output shown in the following screenshot:
  • 16)Write a Python program to create stack bar plot and add label to each section. Sample data: people = (‘G1′,’G2′,’G3′,’G4′,’G5′,’G6′,’G7′,’G8’) segments = 4 # multi-dimensional data data = [[ 3.40022085, 7.70632498, 6.4097905, 10.51648577, 7.5330039, 7.1123587, 12.77792868, 3.44773477], [ 11.24811149, 5.03778215, 6.65808464, 12.32220677, 7.45964195, 6.79685302, 7.24578743, 3.69371847], [ 3.94253354, 4.74763549, 11.73529246, 4.6465543, 12.9952182, 4.63832778, 11.16849999, 8.56883433], [ 4.24409799, 12.71746612, 11.3772169, 9.00514257, 10.47084185, 10.97567589, 3.98287652, 8.80552122]] The code snippet gives the output shown in the following screenshot:
  • 17)Write a Python program to add textures (black and white) to bars and wedges. Note: Use bottom to stack the womens bars on top of the mens bars. The code snippet gives the output shown in the following screenshot:

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