- Not enough sleep or my memory is fading . This helps me keep track ! - Working on a Python | Flask | MongoDB project that uses the nba_api package
- Which will be filtered to pull season data from the current season ( https ://pypi.org/project/nba_api/)
- Goal is to display stat data ( graphs , plots , tables )
- In a way that helps sports prop bettors or enthusiasts look at the full picture of any players stats df = pd .read_csv ('<path/to/list' )
print ('\n Data looks like this:\n ' , df .head (5 ))
## https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#timeseries-offset-aliases
current_time = pd .Timestamp .now (tz = 'US/Central' ).floor ('s' )
alert_time = pd .Timestamp .now (tz = 'US/Central' ) - pd .Timedelta ('10 hours' )
df ['copy2_newcolumn' ] = pd .to_datetime (slist ['copy1' ], unit = 'ms' ).dt .tz_localize ('US/Central' ).dt .tz_convert (None )
df ['foo' ] = df .apply (lambda row : row ['f' ] + row ['o' ] + row ['o' ], axis = 1 )
df .drop (["f" , "o" , "o" ], axis = 1 , inplace = True ) # drop columns client = pymongo .MongoClient (url )
db = client .< dbName >>
collection = db .< collName >
requesting = []
with open (r"../files/files.json" ) as f :
for jsonObj in f :
myDict = json .loads (jsonObj )
requesting .append (InsertOne (myDict ))
result = collection .bulk_write (requesting )
client .close ()DevOps | Terraform | Ansible terraform init
terraform fmt
terraform validate
terraform plan - out = terraform . plan
terraform apply terraform . plan
terraform show
terraform state list
terraform destory | tstats count where index = * sourcetype = * by _time span = 1 h index | timechart span = 1 h sum ( count ) by index limit = 0 usenull = false 
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