I am using Python (3.4) Jupyter Notebook. I have the following two histograms in two separated cells, each has their own figure:
bins = np.linspace(0, 1, 40)
plt.hist(list1, bins, alpha = 0.5, color = 'r')
and
bins = np.linspace(0, 1, 40)
plt.hist(list2, bins, alpha = 0.5, color = 'g')
Is it possible to put the above two histograms as two subplots side by side in one figure?
For example, to make a plot with two histograms, we need to use pyplot's hist() function two times. Here we adjust the transparency with alpha parameter and specify a label for each variable. Here we customize our plot with two histograms with larger labels, title and legend using the label we defined.
Make two dataframes, df1 and df2, of two-dimensional, size-mutable, potentially heterogeneous tabular data. Create a figure and a set of subplots. Make a histogram of the DataFrame's, df1 and df2. To display the figure, use show() method.
For plotting two histograms together, we have to use hist() function separately with two datasets by giving some setting. Used to represent the label of the histogram it is of string type. Used for setting amount of transparency. Used to represent the name or label of the histogram.
Yes this is possible. See the following code.
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
list1 = np.random.rand(10)*2.1
list2 = np.random.rand(10)*3.
bins = np.linspace(0, 1, 3)
fig, ax = plt.subplots(1,2)
ax[0].hist(list1, bins, alpha = 0.5, color = 'r')
ax[1].hist(list2, bins, alpha = 0.5, color = 'g')
plt.show()
You can use matplotlib.pyplot.subplot for that:
import matplotlib.pyplot as plt
import numpy as np
list1 = np.random.rand(10)*2.1
list2 = np.random.rand(10)*3.0
plt.subplot(1, 2, 1) # 1 line, 2 rows, index nr 1 (first position in the subplot)
plt.hist(list1)
plt.subplot(1, 2, 2) # 1 line, 2 rows, index nr 2 (second position in the subplot)
plt.hist(list2)
plt.show()
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