Changing bar examples to tea and coffee (matplotlib#23590)

* changing bar examples to tea and coffee

* changing stacked bar examples to tea and coffee

* changing stacked bar examples to tea and coffee

* changing stacked bar examples to tea and coffee

* changing barchart examples to tea and coffee

* changing stacked bar examples to tea and coffee

* changing barchart examples to tea and coffee

* changing bar unit examples from men and women to bream_fish length and parkki_fish length

* changing bar unit examples from men and women to bream_fish length and parkki_fish length

* changing bar unit examples from men and women to bream_fish length and parkki_fish length

* changing bar unit examples from men and women to bream_fish length and parkki_fish length

* changing bar unit examples from men and women to bream_fish length and parkki_fish length

* changing bar unit examples from men and women to coffee and tea cup size

* changing bar unit examples from men and women to coffee and tea cup size

* changing bar unit examples from men and women to coffee and tea cup size

* changing bar unit examples from men and women to coffee and tea cup size

* changing stacked bar examples to tea and coffee

* changing bar unit from men and women to coffee and tea cup size

* changing bar label examples from men and women to coffee and tea

* changing bar label examples from men and women to coffee and tea

* changing bar label examples from men and women to coffee and tea

* changing bar label examples from men and women to coffee and tea

* changing bar unit from men and women to coffee and tea cup size

* Update examples/units/bar_unit_demo.py

Co-authored-by: Tim Hoffmann <[email protected]>

Author: SourajitaDewasi

examples/lines_bars_and_markers/bar_label_demo.py

@@ -21,25 +21,25 @@
 # Define the data
 
 N = 5
-menMeans = (20, 35, 30, 35, -27)
-womenMeans = (25, 32, 34, 20, -25)
-menStd = (2, 3, 4, 1, 2)
-womenStd = (3, 5, 2, 3, 3)
+coffee_means = (20, 25, -10, 32, 10)
+tea_means = (30, 13, -14, 21, 17)
+coffee_std = (3, 2, 4, 1, 2)
+tea_std = (4, 3, 2, 3, 5)
 ind = np.arange(N)    # the x locations for the groups
-width = 0.35       # the width of the bars: can also be len(x) sequence
+width = 0.25       # the width of the bars: can also be len(x) sequence
 
 ###############################################################################
 # Stacked bar plot with error bars
 
 fig, ax = plt.subplots()
 
-p1 = ax.bar(ind, menMeans, width, yerr=menStd, label='Men')
-p2 = ax.bar(ind, womenMeans, width,
-            bottom=menMeans, yerr=womenStd, label='Women')
+p1 = ax.bar(ind, coffee_means, width, yerr=coffee_std, label='Coffee')
+p2 = ax.bar(ind, tea_means, width,
+            bottom=coffee_means, yerr=tea_std, label='Tea')
 
 ax.axhline(0, color='grey', linewidth=0.8)
 ax.set_ylabel('Scores')
-ax.set_title('Scores by group and gender')
+ax.set_title('Scores by group and their beverage choices')
 ax.set_xticks(ind, labels=['G1', 'G2', 'G3', 'G4', 'G5'])
 ax.legend()
 

examples/lines_bars_and_markers/bar_stacked.py

@@ -5,28 +5,28 @@
 
 This is an example of creating a stacked bar plot with error bars
 using `~matplotlib.pyplot.bar`.  Note the parameters *yerr* used for
-error bars, and *bottom* to stack the women's bars on top of the men's
+error bars, and *bottom* to stack the coffee's bars on top of the tea's
 bars.
 """
 
 import matplotlib.pyplot as plt
 
 
 labels = ['G1', 'G2', 'G3', 'G4', 'G5']
-men_means = [20, 35, 30, 35, 27]
-women_means = [25, 32, 34, 20, 25]
-men_std = [2, 3, 4, 1, 2]
-women_std = [3, 5, 2, 3, 3]
-width = 0.35       # the width of the bars: can also be len(x) sequence
+tea_means = [20, 35, 30, 35, 27]
+coffee_means = [25, 32, 34, 20, 25]
+tea_std = [2, 3, 4, 1, 2]
+coffee_std = [3, 5, 5, 3, 3]
+width = 0.25       # the width of the bars: can also be len(x) sequence
 
 fig, ax = plt.subplots()
 
-ax.bar(labels, men_means, width, yerr=men_std, label='Men')
-ax.bar(labels, women_means, width, yerr=women_std, bottom=men_means,
-       label='Women')
+ax.bar(labels, tea_means, width, yerr=tea_std, label='Tea')
+ax.bar(labels, coffee_means, width, yerr=coffee_std, bottom=tea_means,
+       label='Coffee')
 
 ax.set_ylabel('Scores')
-ax.set_title('Scores by group and gender')
+ax.set_title('Scores by group and beverage preferences')
 ax.legend()
 
 plt.show()

examples/lines_bars_and_markers/barchart.py

@@ -12,19 +12,19 @@
 
 
 labels = ['G1', 'G2', 'G3', 'G4', 'G5']
-men_means = [20, 34, 30, 35, 27]
-women_means = [25, 32, 34, 20, 25]
+tea_means = [20, 34, 31, 35, 27]
+coffee_means = [25, 32, 34, 20, 25]
 
 x = np.arange(len(labels))  # the label locations
-width = 0.35  # the width of the bars
+width = 0.25  # the width of the bars
 
 fig, ax = plt.subplots()
-rects1 = ax.bar(x - width/2, men_means, width, label='Men')
-rects2 = ax.bar(x + width/2, women_means, width, label='Women')
+rects1 = ax.bar(x - width/2, tea_means, width, label='Tea')
+rects2 = ax.bar(x + width/2, coffee_means, width, label='Coffee')
 
 # Add some text for labels, title and custom x-axis tick labels, etc.
 ax.set_ylabel('Scores')
-ax.set_title('Scores by group and gender')
+ax.set_title('Scores by group and beverage preferences')
 ax.set_xticks(x, labels)
 ax.legend()
 

examples/units/bar_unit_demo.py

@@ -18,21 +18,21 @@
 
 
 N = 5
-men_means = [150*cm, 160*cm, 146*cm, 172*cm, 155*cm]
-men_std = [20*cm, 30*cm, 32*cm, 10*cm, 20*cm]
+tea_means = [15*cm, 10*cm, 8*cm, 12*cm, 5*cm]
+tea_std = [2*cm, 1*cm, 1*cm, 4*cm, 2*cm]
 
 fig, ax = plt.subplots()
 
 ind = np.arange(N)    # the x locations for the groups
 width = 0.35         # the width of the bars
-ax.bar(ind, men_means, width, bottom=0*cm, yerr=men_std, label='Men')
+ax.bar(ind, tea_means, width, bottom=0*cm, yerr=tea_std, label='Tea')
 
-women_means = (145*cm, 149*cm, 172*cm, 165*cm, 200*cm)
-women_std = (30*cm, 25*cm, 20*cm, 31*cm, 22*cm)
-ax.bar(ind + width, women_means, width, bottom=0*cm, yerr=women_std,
-       label='Women')
+coffee_means = (14*cm, 19*cm, 7*cm, 5*cm, 10*cm)
+coffee_std = (3*cm, 5*cm, 2*cm, 1*cm, 2*cm)
+ax.bar(ind + width, coffee_means, width, bottom=0*cm, yerr=coffee_std,
+       label='Coffee')
 
-ax.set_title('Scores by group and gender')
+ax.set_title('Cup height by group and beverage choice')
 ax.set_xticks(ind + width / 2, labels=['G1', 'G2', 'G3', 'G4', 'G5'])
 
 ax.legend()