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()
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()
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