| location | point | latitude | longitude | altitude |
|---|
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| miss_col |
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| miss_only |
| airport | type of traffic | 2010-10-01 00:00:00 | 2010-11-01 00:00:00 | 2010-12-01 00:00:00 |
|---|
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| path = "df_geo.csv" | |
| read = True | |
| if read: | |
| if path_checker(path): | |
| df = pd.read_csv(path) | |
| if "date" in df: | |
| df["date"] = pd.to_datetime(df["date"]) | |
| else: | |
| if df is None: |
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| find_missing_values(df) |
| airport | type of traffic | 2010-10-01 00:00:00 | 2010-11-01 00:00:00 | 2010-12-01 00:00:00 |
|---|
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| df = replace_df_ax_name(df, "Passengers ", "", 1) | |
| df = replace_df_ax_name(df, "M", "-", 1) | |
| df = replace_df_ax_name(df, "-", "d_to_datetime", 1) | |
| df.head() |
| airport | type of traffic | Passengers 2010M10 | Passengers 2010M11 | Passengers 2010M12 |
|---|
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| df = pd.read_csv("passenger_data.csv", delimiter=";", header=1).drop(["domestic/international flights", "passenger group"], axis=1) | |
| df = df.sort_values(by="airport") | |
| df.reset_index(drop=True, inplace=True) | |
| df.head() |