poetry.lock

[[package]]
category = "dev"
description = "NumPy is the fundamental package for array computing with Python."
name = "numpy"
optional = false
python-versions = ">=3.5"
version = "1.17.0"

[[package]]
category = "dev"
description = "Powerful data structures for data analysis, time series, and statistics"
name = "pandas"
optional = false
python-versions = ">=3.5.3"
version = "0.25.0"

[package.dependencies]
numpy = ">=1.13.3"
python-dateutil = ">=2.6.1"
pytz = ">=2017.2"

[[package]]
category = "dev"
description = "Extensions to the standard Python datetime module"
name = "python-dateutil"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
version = "2.8.0"

[package.dependencies]
six = ">=1.5"

[[package]]
category = "dev"
description = "World timezone definitions, modern and historical"
name = "pytz"
optional = false
python-versions = "*"
version = "2019.2"

[[package]]
category = "dev"
description = "Python 2 and 3 compatibility utilities"
name = "six"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
version = "1.12.0"

[metadata]
content-hash = "89dfe6b8ed4453243b410d0ebed8b246eee20ad2ee611f3a5d6c2afc89e7c17c"
python-versions = "^3.6"

[metadata.hashes]
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pandas = ["074a032f99bb55d178b93bd98999c971542f19317829af08c99504febd9e9b8b", "20f1728182b49575c2f6f681b3e2af5fac9e84abdf29488e76d569a7969b362e", "2745ba6e16c34d13d765c3657bb64fa20a0e2daf503e6216a36ed61770066179", "32c44e5b628c48ba17703f734d59f369d4cdcb4239ef26047d6c8a8bfda29a6b", "3b9f7dcee6744d9dcdd53bce19b91d20b4311bf904303fa00ef58e7df398e901", "544f2033250980fb6f069ce4a960e5f64d99b8165d01dc39afd0b244eeeef7d7", "58f9ef68975b9f00ba96755d5702afdf039dea9acef6a0cfd8ddcde32918a79c", "9023972a92073a495eba1380824b197ad1737550fe1c4ef8322e65fe58662888", "914341ad2d5b1ea522798efa4016430b66107d05781dbfe7cf05eba8f37df995", "9d151bfb0e751e2c987f931c57792871c8d7ff292bcdfcaa7233012c367940ee", "b932b127da810fef57d427260dde1ad54542c136c44b227a1e367551bb1a684b", "cfb862aa37f4dd5be0730731fdb8185ac935aba8b51bf3bd035658111c9ee1c9", "de7ecb4b120e98b91e8a2a21f186571266a8d1faa31d92421e979c7ca67d8e5c", "df7e1933a0b83920769611c5d6b9a1bf301e3fa6a544641c6678c67621fe9843"]
python-dateutil = ["7e6584c74aeed623791615e26efd690f29817a27c73085b78e4bad02493df2fb", "c89805f6f4d64db21ed966fda138f8a5ed7a4fdbc1a8ee329ce1b74e3c74da9e"]
pytz = ["26c0b32e437e54a18161324a2fca3c4b9846b74a8dccddd843113109e1116b32", "c894d57500a4cd2d5c71114aaab77dbab5eabd9022308ce5ac9bb93a60a6f0c7"]
six = ["3350809f0555b11f552448330d0b52d5f24c91a322ea4a15ef22629740f3761c", "d16a0141ec1a18405cd4ce8b4613101da75da0e9a7aec5bdd4fa804d0e0eba73"]