Skip to content

Commit 2e495a9

Browse files
committed
Minor README updates
1 parent 686364b commit 2e495a9

File tree

3 files changed

+6
-8
lines changed

3 files changed

+6
-8
lines changed

.gitignore

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -4,4 +4,5 @@
44
*.exe
55
*.json
66
*.pyc
7-
*.png
7+
*.png
8+
*.zip

README.md

Lines changed: 1 addition & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -21,9 +21,7 @@ For some use cases the below examples may be useful:
2121
---
2222

2323
## Requirements
24-
- The scripts are tested using Python 3.7
25-
- Most scripts are designed for Windows, but can easily be used/modified for Linux
26-
- We recommend to install script requirements based on the `requirements.txt` in each folder:
24+
- We recommend to install script dependencies based on the `requirements.txt` in each folder:
2725
``pip install -r requirements.txt``
2826

2927
### Platforms supported
@@ -32,9 +30,6 @@ The below platforms are currently supported for the `mdf_iter`, `canedge_browser
3230
- Linux: x86-64 (Python 3.5, 3.6, 3.7, 3.8)
3331
- Windows: x86-64 (Python 3.7, 3.8), x86 (Python 3.7, 3.8)
3432

35-
### Linux users and mdf_iter
36-
For Linux users, the `mdf_iter` module is temporarily pending a release for installation via the regular pip manager. Instead, you can download the [Linux mdf_iter build](http://canlogger1000.csselectronics.com/files/mdf_iter-0.0.1-cp35-abi3-linux_x86_64.whl) and install the package from local disk via `pip install mdf_iter-0.0.1-cp35-abi3-linux_x86_64.whl`.
37-
3833
---
3934

4035
## Sample data (MDF4 & DBC)

examples/data-processing/process_data.py

Lines changed: 3 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -45,7 +45,9 @@
4545
# extract all DBC decodable signals and print dataframe
4646
df_phys = df_decoder.decode_frame(df_raw)
4747
print(f"Extracted {len(df_phys)} DBC decoded frames")
48-
path = log_file.split("LOG/")[1].replace("MF4", "csv").replace("/", "_")
48+
path = device_id + log_file.split(device_id)[1].replace("MF4", "csv").replace(
49+
"/", "_"
50+
)
4951
df_phys.to_csv(path)
5052

5153
if df_phys.empty:

0 commit comments

Comments
 (0)