Lecture 4: Analyzing Tabular Data with Pandas

Lesson Details:

Use this thread for asking questions during and after the lecture.

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Who is here for the lecture?

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how can we read a Json file using pandas?

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pd.read_json(....

Here is the link for more such I/O ops in Pandas
https://pandas.pydata.org/docs/reference/io.html#json

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please repeat Pandas format …How we can use that ??

sir please tell me How we can determine question for anaylzing the huge data??

why Pandas when data analysis and presentation can be done in SQL or excel :slight_smile: pl elaborate more use cases. Thank you!

You can check this:

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how this happened ? please help. thanks

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will check … Thanks!

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Performance wise - individual statements are better or combining multiple statements improves performance? or no impact on performance?

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can we only merge as column or we can add into row wise??

You can just concat rows of dataframes.

Why the ; after a statement?

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how can we use historic data to forecast new cases etc. - what will happen until December?

it just a typo, not produce any change

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After each and every plot statement?

Jupyter implicitly prints anything that is returned from a function. So if .plot() returns anything that will be hidden with ;, you can remove ; and see

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Okay! Will try! Thank you for the information! And, a ; in Python is interesting!!