/Python/Convert column to numeric pandas

Convert column to numeric pandas

Pandas change to numeric

>>> s = pd.Series(["8", 6, "7.5", 3, "0.9"]) # mixed string and numeric values
>>> s
0      8
1      6
2    7.5
3      3
4    0.9
dtype: object

>>> pd.to_numeric(s) # convert everything to float values
0    8.0
1    6.0
2    7.5
3    3.0
4    0.9
dtype: float64

Source: stackoverflow.com

Column dataframe to int

df[[column_name]].astype(int)

Convert column to numeric pandas

# convert all columns of DataFrame
df = df.apply(pd.to_numeric) # convert all columns of DataFrame

# convert just columns "a" and "b"
df[["a", "b"]] = df[["a", "b"]].apply(pd.to_numeric)

Source: stackoverflow.com

Pandas decimal places

# (1) Round to specific decimal places – Single DataFrame column
df['DataFrame column'].round(decimals=number of decimal places needed)

# (2) Round up – Single DataFrame column
df['DataFrame column'].apply(np.ceil)

# (3) Round down – Single DataFrame column
df['DataFrame column'].apply(np.floor)

# (4) Round to specific decimals places – Entire DataFrame
df.round(decimals=number of decimal places needed)

Source: datatofish.com

Convert a pandas column to int

# convert Series
my_series = pd.to_numeric(my_series)

# convert column "a" of a DataFrame
df["a"] = pd.to_numeric(df["a"])

Source: stackoverflow.com

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