python datatable

DB ms answered on June 1, 2023 Popularity 8/10 Helpfulness 2/10

answer python datatable

python datatable

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import datatable as dt

# load a CSV file
df = dt.fread("mydata.csv")

# print the first 10 rows
print(df.head(10))

# select a subset of columns
df_sub = df[:, ["col1", "col2"]]

# filter rows based on a condition
df_filtered = df[df["col1"] > 10]

# group by a column and compute the mean of another column
df_grouped = df[:, {"mean_col2": dt.mean(dt.f.col2)}, dt.by("col1")]

# join two tables on a common column
df2 = dt.fread("mydata2.csv")
df_joined = df[:, :, dt.join(df2, "common_col")]

# write the result to a new CSV file
df_joined.to_csv("result.csv")

Popularity 8/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: datatable python

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Contributed on Jun 01 2023

DB ms

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