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Questions tagged [pandas]

正规365体育投注 Pandas is a Python library for data manipulation and analysis, e.g. dataframes, multidimensional time series and cross-sectional datasets commonly found in statistics, experimental science results, econometrics, or finance. Pandas is one of the main data science libraries in Python.

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Pivot a pandas dataframe with multiple columns

I have a sample data frame like below df1 = pd.DataFrame({'Gender':['Male','Male','Male','Male','Female','Female','Female','Female','Male','Male','Male','Male','Female','Female','Female','Female'], ...
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1answer
21 views

How to convert column of strings into sequential numbers in Pandas?

I have a column in a df that is full of strings like like ["1120", "2230", "1120", "1234" ...] where not every value in this column is unique. I want to convert these strings into SEQUENTIAL NUMBERS ...
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0answers
16 views

Find the last sequence of occurance of a value in a time series data in pandas

I have per minute time series data for 10 days with three columns: time stamp, category, alarm. Given a date, I want to groupby category and find the timestamps for which the alarm was set to 1 ...
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1answer
13 views

Equalize row count between columns in Python Pandas DataFrame

My Problem I'm working on sentiment analysis using ML models. I have a dataset of Amazon reviews from 1 to 5 stars. print(df.groupby('overall').count()) overall reviewText 1.0 ...
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1answer
23 views

Pandas - Join multiple rows into one row with more columns

I've done some searching and can't find this. I may not be using the correct wording. This is what I want to do: id, C1, C2 0, 1, 2 1, 2, 3 2, 2, 4 3, 5, 6 4, 7, 8 5, 9, 10 6, 11, ...
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0answers
8 views

Pandas UserWarning when using df.loc based on condition

I've below dataframe where I want to change values based on condition name checker data 0 user1 user122AB 10 1 user2 user132AB 12 2 user3 user346AB 14 3 user4 user108AB 16 4 ...
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2answers
12 views

Change specific values in dataframe

I have df like this: Name Value NUM_SC A 1000 421 B 2000 127 C 3000 511 D 2000 718 E 1500 511 (may duplicate) And I would ...
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2answers
16 views

how to select rows in a data frame those are similar on basis of column values

My Dataframe is : col1 col2 col3 col4 'abc' 2 3 4 'asd' 4 5 6 'dfg' 7 5 6 'ghg' 2 3 4 'xyz' 1 3 4 Here I want to find the rows( specifically list of 'col1' values) ...
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0answers
12 views

Need suggestion in Data Visualization- Python/Pandas/Matplotlib/Seaborn [closed]

Data Visualisation Suggestion Required: I have two columns: - Shipping Mode has 4 categories - First Class, Second Class, Same Day and Standard Class, and - Segment has 3 categories - Consumer, Home ...
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1answer
20 views

Pandas to create columns based on starting Character

I have below data parsed Data from the Linux Machine into a text file. What i Want.. Any line Startswith cn: should be comes under column Group_Name by constituting it. Below cn: there are ...
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0answers
25 views

Python - get all rows that have equal colA and colB of a dataframe [closed]

I am using these two commands: combined.groupby(['colA', 'colB']).ngroups len(set(zip(combined['colA'],combined['colB']))) which both give the result 6599. But how can I get all the rows for which ...
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3answers
53 views

How to convert timedelta to hours

I have a timedelta Dataframe JC time 1 3days 21:02:05 2 1days 23:50:07 3 6days 19:28:36 but i want 1 93:02:05 2 47:50:07 3 163:28:36 How can I convert it?
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1answer
22 views

How to divide a DataFrame into groups using index label and perform operation to find 3 largest in a particular column according to each index

I have a dataframe like this: STNAME CTYNAME POPESTIMATE Alabama Autauga County 54660 Alabama Baldwin County 183193 Alabama Barbour County 27341 ...
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1answer
14 views

pausing for loop of a data stream for further manipulation

have the following code resulting in a streaming data frame with over 5000 rows every minute. As this data frame is within a for loop am unable to manipulate the data within the data frame. So I need ...
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2answers
30 views

Pandas : Create new columns from a list of dictionaries in another column

I have a list of arbitrary number of dictionaries in each cell of a pandas column. df['Amenities'][0] [{'Description': 'Basketball Court(s)'}, {'Description': 'Bike Rack / Bike Storage'}, {'...

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