pandas dependency introduction

Hello.

I would like to integrate the Pandas module in order to facilitate data manipulation. For example rewrite the history csv part to have something more robust. Unfortunately, the pandas module is only compatible with version 3.7.1< of python.

https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html

The silkaj project wants to be compatible from python 3.6.8. Can this change? Or do I have to make up my mind.

marked this issue as related to #332 (closed)

I would like Silkaj to be compatible with Python supported versions. #332 (closed), Python 3.6 support is about to be dropped in December 2021 (in 8 months). Do you need pandas dependency introduction to enter a Silkaj release? If not, in the meantime, it's development can be kept in a branch. What do you plan to build on top of it?

Regarding the distribution packaging, this looks good, since it's present in most distributions, in particular Debian.

changed milestone to %Backlog

added Dep Py ≥ 3.7 labels

changed title from Python minimal version. to pandas dependency introduction

I don't know how to answer the question about dependencies... (I know that numpy is essential to pandas)

it will allow to make for example for the csv:

def generate_csv(header, txs_list, entt_prefix_csv):
    """
    This function creates a csv from 3 parameters:
    -   header: c.f. get_header()
    -   txs_lst: c.f. generate_table()
    -   entt_prefix_csv: list of header keys that we want to appear in the first columns of the final csv
    """
    entt_txs_csv = txs_list.pop(0)
    df_txs = pd.DataFrame(txs_list, columns=entt_txs_csv)

    tmp = list()
    for f in entt_prefix_csv:
        tmp.append(header[f])

    prefix_csv = list()
    for i in range(1, len(txs_list) + 1):
        prefix_csv.append(tmp)

    prefix_csv = pd.DataFrame(prefix_csv, columns=entt_prefix_csv)
    df = pd.concat([prefix_csv, df_txs], axis=1)
    return df.to_csv()

PS I'm sorry, I have difficulty to speak in English ;)

If you have issues to install pandas into current Poetry development environment for your local changes, you can increase this line to 3.7.1 for you to have pandas installed in this environment.

added Py ≥ 3.8 label and removed Py ≥ 3.7 label

removed Py ≥ 3.8 label