dataframe tag

Pandas is mainly used for data analysis and associated manipulation of tabular data in Dataframes. Pandas allows importing data from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. Pandas allows various data manipulation operations such as merging, reshaping, selecting, as well as data cleaning, and data wrangling features. The development of pandas introduced into Python many comparable features of working with DataFrames that were established in the R programming language. The pandas library is built upon another library NumPy, which is oriented to efficiently working with arrays instead of the features of working on DataFrames.

Reference: WIKIPEDIA

63 questions


1 answers
132 views
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Please tell me how to combine them according to the Python Pandas data frame conditions and calculate specific values.

with open(test.json, 'r', encoding=UTF8) as file: lines = file.readlines() json_data = [json.loads(ln.replace(\n, ))['data'] for ln in lines] df = pd.DataFrame(json_data)The structure of the df above ...


2 answers
90 views
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Please help me to re-form the data frame after counting the number of python data frames under certain conditions.

df = pd.DataFrame([data])The structure of the data table that comes out when you print df in is as follows.The code is recorded for each date, and I'd like to distinguish how many codes 3 and how many...


1 answers
63 views
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You want to extract a value of a specific condition from a data frame.

You want to extract values from a data frame based on specific conditions.loc = pd.read_csv(./inference/output/temp.txt, sep= , header=None)loc = loc.drop([5], axis=1)loc.columns = [classID, x, y, wid...

2 years ago

1 answers
57 views
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Python spark str or bytes form dataframe conversion

{key1:value1, key2:value2, key3:value3, key4:value4}{key1:value1, key2:value2, key3:value3 ,key4:value4 }{key1:value1, key2:value2, key3:value3 ,key4:value4 }{key1:value1, key2:value2, key3:value3 ,ke...

2 years ago

1 answers
59 views
0
Count specific values by python row

Data frames that look like this0 1 2 41 0 2 53 4 0 0From I want to print out the number of columns with zero in the last row with two zerosCoding to be done It's complicated.So the final result is to ...

2 years ago

1 answers
100 views
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If you create a data frame with overlapping dictionaries and save it as an Excel file, there's an omitted information

fleet_list = {}airlines = ['lj-jna', 'ke-kal', 'oz-aar', '7c-jja', 'bx-abl', 'tw-twb', 'rs-asv']for i in airlines: driver.get('https://www.flightradar24.com/data/airlines/%s' % i) driver.find_element_...


1 answers
92 views
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How do I turn the data frame for door in spark python (pyspark)?

I just applied the for statement to the data frame as below, and the column is printed.I hope the value values come out as lists or tuples, like when you fetchall() on db instead of columnsIs there a ...

2 years ago

1 answers
92 views
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Merging two data frames

rekfs_skd_l[5] STD STA TYPFLT 171 08:30 11:30 B738172 12:40 17:40 B738172 18:20 19:35 B738211 08:40 10:25 B738212 11:25 13:20 B738.. ... ... ...594 17:55 18:45 B738595 19:20 20:25 B738761 22:00 1...


1 answers
54 views
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Entering Pandas Data

Hello, I have a question for Panda's.I set the time every 10 minutes to organize the data frameIn order to extract a specific time zone, we processed the data and configured it using df.set_index.I wa...

2 years ago

1 answers
54 views
0
Extracting column names of locations with specific values among Pandas data frames

If you know a particular value in a Pandas data frame, how do you output the column name for that value?And if you know a particular value, I wonder how to output the position of that value!I can't fi...

2 years ago
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