I am using matplotlib.pyplot to make a histogram. Due to the distribution of the data, I want manually set up the bins. The details are as follows:

1. Any value = 0 in one bin;
2. Any value > 60 in the last bin;
3. Any value > 0 and <= 60 are in between the bins described above and the bin size is 5.

Could you please give me some help? Thank you.

CodePudding user response：

I'm not sure what you mean by "the bin size is 5". You can either plot a histogramm by

(Note that 60 is moved to the last bin when specifying bins as a sequence, changing the sequence to [0, 0.5, 59.5, max(data)] would fix that)

What you (probably) need is first to categorize your data and then plot a bar chart of the categories:

import matplotlib.pyplot as plt
import pandas as pd

data = [0, 0, 1, 2, 3, 4, 5, 6, 35, 60, 61, 82, -5] # your data here

df = pd.DataFrame()
df['data'] = data

def find_cat(x):
    if x == 0:
        return "0"
    elif x > 60:
        return "> 60"
    elif x > 0:
        return "> 0 and <= 60"

df['category'] = df['data'].apply(find_cat)
df.groupby('category', as_index=False).count().plot.bar(x='category', y='data', rot=0, width=0.8)
plt.show()

Output:

CodePudding user response：

building off Tranbi's answer, you could specify the bin edges as detailed in the link they shared.

import matplotlib.pyplot as plt
import pandas as pd
data = [0, 0, 1, 2, 3, 4, 5, 6, 35, 60, 61, 82, -6] # your data here
df = pd.DataFrame()
df['data'] = data

bin_edges = [-5, 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65]
bin_edges_offset = [x 0.000001 for x in bin_edges]

plt.figure()
plt.hist(df['data'], bins=bin_edges_offset)
plt.show()

histogram