histogram chart plotly
import plotly.express as px
df = px.data.tips()
fig = px.histogram(df, x="total_bill", nbins=20)
fig.show()histogram chart plotly
import plotly.express as px
df = px.data.tips()
fig = px.histogram(df, x="total_bill", nbins=20)
fig.show()matplitlib how to draw a histogram
import matplotlib.pyplot as plt
x = [1,1,2,3,3,5,7,8,9,10,
10,11,11,13,13,15,16,17,18,18,
18,19,20,21,21,23,24,24,25,25,
25,25,26,26,26,27,27,27,27,27,
29,30,30,31,33,34,34,34,35,36,
36,37,37,38,38,39,40,41,41,42,
43,44,45,45,46,47,48,48,49,50,
51,52,53,54,55,55,56,57,58,60,
61,63,64,65,66,68,70,71,72,74,
75,77,81,83,84,87,89,90,90,91
]
plt.hist(x, bins=10)
plt.show()plot histogram python
import matplotlib.pyplot as plt
data = [1.7,1.8,2.0,2.2,2.2,2.3,2.4,2.5,2.5,2.5,2.6,2.6,2.8,
2.9,3.0,3.1,3.1,3.2,3.3,3.5,3.6,3.7,4.1,4.1,4.2,4.3]
plt.hist(data)
plt.title('Histogram of Data')
plt.xlabel('data')
plt.ylabel('count')histogram chart plotly
import plotly.express as px
import numpy as np
df = px.data.tips()
# create the bins
counts, bins = np.histogram(df.total_bill, bins=range(0, 60, 5))
bins = 0.5 * (bins[:-1] + bins[1:])
fig = px.bar(x=bins, y=counts, labels={'x':'total_bill', 'y':'count'})
fig.show()Copyright © 2021 Codeinu
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