Answers for "python histogram"

13

matplotlib histogram

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]
#this histogram has a range from 1 to 4
#and 8 different bins
plt.hist(data, range=(1,4), bins=8)
plt.show()
Posted by: Guest on March-15-2020
1

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()
Posted by: Guest on August-06-2020
0

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')
Posted by: Guest on May-31-2021
0

matplotlib histograms

# Import packages
import matplotlib.pyplot as plt
%matplotlib inline

# Create the plot
fig, ax = plt.subplots()

# Plot the histogram with hist() function
ax.hist(x, edgecolor = "black", bins = 5)

# Label axes and set title
ax.set_title("Title")
ax.set_xlabel("X_Label")
ax.set_ylabel("Y_Label")
Posted by: Guest on February-05-2021
0

matplotlib histogram

import pyplot from matplotlib as plt
plt.hist(x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, *, data=None, **kwargs)
Posted by: Guest on July-28-2020
0

numpy histogram 0 to 100 percent

kwargs2 = dict(histtype='step')
fig, ax1=plt.subplots(1,1,sharey=True, facecolor='w',figsize=(8,6))

counts_zi, bins_zi = np.histogram(np.array(dt_mu_zi)*60)
ax1.hist(bins_zi[:-1], bins_zi, weights=100*counts_zi/counts_zi.sum(),color='red', **kwargs2)

x0, x1 = ax1.get_xlim()
ax1.set_xlim([x0,x0+1*(x1-x0)])

ax1.set_ylabel('Frequency',fontsize=12)
ax1.set_xlabel('Delta time (minutes)',fontsize=12)
plt.xticks([-180,-150,-120,-90,-60,-30,0,30,60,90,120,150,180])
Posted by: Guest on September-17-2020

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