From 4c35ec85dd0d3e6673dd1bb5c23449a78ead3bec Mon Sep 17 00:00:00 2001
From: zineb aly <aly.zineb.az@gmail.com>
Date: Mon, 20 Jan 2020 12:50:33 +0100
Subject: [PATCH] delete write.py
---
km3io/write.py | 94 --------------------------------------------------
1 file changed, 94 deletions(-)
delete mode 100644 km3io/write.py
diff --git a/km3io/write.py b/km3io/write.py
deleted file mode 100644
index 9b29b39..0000000
--- a/km3io/write.py
+++ /dev/null
@@ -1,94 +0,0 @@
-import os
-import inspect
-import numpy as np
-import km3io as ki
-import awkward as aw
-
-
-CLASSES = tuple(m[1] for m in inspect.getmembers(ki.offline, inspect.isclass))
-
-def to_csv(f_name, **kwargs):
- """writes data in a csv file
-
- Parameters
- ----------
- f_name : str
- Description
- **kwargs
- Description
- """
- if os.path.isfile(f_name):
- raise OSError("'{}' already exists! change the file name or delete it".format(f_name))
-
- with open(f_name+'.csv', 'a') as fp:
- for key, value in kwargs.items():
-
- # write events, hits and tracks classes
- if isinstance(value, CLASSES):
- for k, v in zip(value._keys, np.array(value._values)): # if it doesn't work change enumerate(v) to enumerate(np.array(v))
- fp.write('# {}\n'.format(k))
- for i, j in enumerate(v):
- np.savetxt(fp, j, header=str(i), comments='## ')
-
- # write arrays
- if isinstance(value, np.ndarray):
- np.savetxt(fp, value, header=key, comments='# ')
-
- else:
- try:
- # write a jagged array
- if value.dtype.char == 'O': # O is the unique char that identifies 'awkward.array.chunked.ChunkedArray'
- fp.write('# {}\n'.format(key))
- for i, j in enumerate(value):
- np.savetxt(fp, j, header=str(i), comments='## ')
-
- except Exception:
- raise TypeError("'{}' is not a valid data structure".format(type(value)))
-
-
-def from_csv(f_name, headers=None):
- """reads a csv file written by km3io
-
- Parameters
- ----------
- f_name : str
- Description
- headers : None, optional
- list of str of headers
- """
- if headers is None:
- keys = []
- values = []
- found_header = False
- found_sub_header = False
- # read the entire file
- with open(f_name, 'r') as fp:
- jagged_data = []
- jagged_sub_data = []
- for line in fp:
- if '# ' in line:
- found_header = True
- keys.append(line.split()[1]) # convert str to float
-
- if found_header:
- if '# ' in line:
- found_header = False
- if '## ' in line:
- found_sub_header = True
- else:
- jagged_data.append(line.split()[0])
-
-
- if found_header and found_sub_header:
- if '## ' in line:
- found_sub_header = False
- jagged_data.append(jagged_sub_data)
- else:
- jagged_sub_data.append(lin.split()[0])
-
-
-
-#write in hdf
-
-
-#write in root (NOT NECESSARY)
--
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