pandas add dataframe to the bottom of another

# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)

# Short answer:
# Adjust the bandwidth parameter to smaller values. E.g. bw = 0.1

# Example usage:
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

data = np.random.rand(100)
sns.violinplot(y=data, bw=0.1) # Changing the bw parameter adjusts how
#	tightly the data is fit by the kernel density estimate (KDE)

# Basic syntax:
which(is.na(your_dataframe), arr.ind=TRUE)
# Where:
#	- which returns the dataframe row indices for rows that contain
#		a logical of TRUE
#	- is.na processes the dataframe and converts all values to TRUE or 
#		FALSE based on whether they are NA or not

# Basic syntax:
your_dataframe[row_number, column_number] = new_value

# Basic syntax (use index = False):
df.to_string(index = False)