I am attempting to count the number of instances of an element in a column of a Pandas Dataframe based on a set of criteria. I am running into difficulty in a few places.
Here is what I have up to this point. It effectively reads the CSV, drops the duplicates, and sorts df2. I am performing all of these steps in order to isolate the criteria I want to use in the future. Frankly, this may even be an extra step I do not need.
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
# importing all required modules numpy, pyplot, and pandas
df= pd.read_csv('file.csv')
# reading the CSV file as a pandas dataframe
df2 = df.drop_duplicates(subset="MRCEmp")
df2 = df2.sort_values(["CLNum"])
# creating duplicate dataframe eliminating duplicate pairs
# sorting df2 in ascending order by column "CLNum"
clmax = df2["CLNum"].max()
clmin = df2["CLNum"].min()
# creating variables as int to define the maximum and minimum of the "CLNum: column
for n in df2["CLNum"]:
if n not in df2["CLNum"]:
n = n + 1
elif n in df2["CLNum"]:
print(df2.loc[df2["CLNum"] == n])
n = n + 1
I should note that not all integers are represented in df2["CLnum"]
that is why I inserted the first for loop.
When running this script however, not all of the rows are displayed. clmax = 728
and clmin = 1
, but the final row displayed holds an n value of 283. I cannot find why not all rows are displayed.
尝试熊猫value_counts
函数
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